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Jun Liu

Researcher at Sun Yat-sen University

Publications -  1474
Citations -  92168

Jun Liu is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 100, co-authored 1165 publications receiving 73692 citations. Previous affiliations of Jun Liu include Shanghai Jiao Tong University & Genome Institute of Singapore.

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The Genotype-Tissue Expression (GTEx) project

John T. Lonsdale, +129 more
- 29 May 2013 - 
TL;DR: The Genotype-Tissue Expression (GTEx) project is described, which will establish a resource database and associated tissue bank for the scientific community to study the relationship between genetic variation and gene expression in human tissues.
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Topological domains in mammalian genomes identified by analysis of chromatin interactions

TL;DR: It is found that the boundaries of topological domains are enriched for the insulator binding protein CTCF, housekeeping genes, transfer RNAs and short interspersed element (SINE) retrotransposons, indicating that these factors may have a role in establishing the topological domain structure of the genome.
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The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

Kristin G. Ardlie, +132 more
- 08 May 2015 - 
TL;DR: The landscape of gene expression across tissues is described, thousands of tissue-specific and shared regulatory expression quantitative trait loci (eQTL) variants are cataloged, complex network relationships are described, and signals from genome-wide association studies explained by eQTLs are identified.
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Calcineurin is a common target of cyclophilin-cyclosporin A and FKBP-FK506 complexes

TL;DR: The results suggest that calcineurin is involved in a common step associated with T cell receptor and IgE receptor signaling pathways and that cyclophilin and FKBP mediate the actions of CsA and Fk506 by forming drug-dependent complexes with and altering the activity of calcineURin-calmodulin.
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TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells

TL;DR: Tumor Immune Estimation Resource (TIMER) is presented to comprehensively investigate molecular characterization of tumor-immune interactions and provides a user-friendly web interface for dynamic analysis and visualization of these associations, which will be of broad utilities to cancer researchers.